Due to the development of transportation, population growth and industrial activities, air quality has become a major issue in urban areas. Poor leads rising health issues human’s life many ways especially respiratory infections, heart disease, asthma, stroke lung cancer. The contaminated comprises harmful ingredients such as sulfur dioxide (SO2), nitrogen (NO2), particulate matter PM10, PM2.5,...

The purpose of this study is to investigate and compare forecasting trends university solid waste (USW) at a private in Bangkok using combination statistical metaheuristic algorithms. university’s municipality data was prepared, collected, converted so that it could be processed by decision support system. Historical available for 16 years beginning with fiscal year 2005. Factors influencing US...

This paper presents a new metahaheuristic algorithm to solve the capacitated locationrouting problem (CLRP). We are given on input a set of identical vehicles, a set of depots with restricted capacities and opening costs, and a set of customers with deterministic demands. The problem consists of determining the depots to be opened, the customers and the vehicles to be assigned to each open depo...

Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field, provides precise reference evapotranspiration (ETo) prediction that is highly important for water resource availability and hydrological studies. However, hybrid MAs are quite scarcely used to predict ETo existing literature. To this end, abilities of two support vector regression (SVR) models coupled wi...

Scheduling problems for general cases are characterized as NP hard, and the computation time required to obtain the optimal schedule will grow exponentially with the problem size. The scheduling problems that consider the limited or shared resources, alterable constraints or environmental changes become very complex in both formulation and solution. Since the solution for these problems has gre...

The objective of vehicle routing problem (VRP) is to design a set of vehicle routes in which a fixed fleet of delivery vehicles from one or several depots to a number of customers have to be set with some constraints. To this date in the literature, many instances of VRP model have been introduced and applied for various types of scheduling problems. However, when implemented in a real life app...

A metaheuristic algorithms provide effective methods to solve complex problems using f inite sequence of instructions. It can be defined as an iterative search process that eff iciently performs the exploration and exploitation in the solution space aiming to eff icient ly f ind near optimal solutions. This iterative process has adopted various natural intelligences and aspirations. In this wor...

The Maximum Diversity Problem (MDP) consists in selecting a subset of m elements from a given set of n elements (n > m) in such a way that the sum of the pairwise distances between the m chosen elements is maximized. We present a hybrid metaheuristic algorithm (denoted by MAMDP) for MDP. The algorithm uses a dedicated crossover operator to generate new solutions and a constrained neighborhood t...